Controle PID Paraconsistente para Fusão de Sensores Redundantesem Sistemas de Segunda Ordem

This paper presents a Paraconsistent PID controller based on Two-Valued Annotated Paraconsistent Logic (LPA₂v) for handling contradictory information in systems with redundant sensors. The method employs evidence degrees to adjust the control action through a confidence factor. Simulations on a second-order plant under different contradiction levels and sensor fault conditions were evaluated using IAE, ISE, ITAE, settling time, and overshoot metrics. Results demonstrated stability and robustness under inconsistent information, indicating potential applications in fault-tolerant industrial systems.

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Publication Details

Journal
Anais do Encontro Nacional de Pós Graduação
Published
2026-11-04
DOI
https://doi.org/10.66221/2nfwsp39
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Controle PID Paraconsistente para Fusão de Sensores Redundantesem Sistemas de Segunda Ordem

Paulino Machado Gomes
Anais do Encontro Nacional de Pós Graduação
Fault Detection and Control Systems
article

Controle PID Paraconsistente para Fusão de Sensores Redundantesem Sistemas de Segunda Ordem

Paulino Machado Gomes
article en

Abstract

This paper presents a Paraconsistent PID controller based on Two-Valued Annotated Paraconsistent Logic (LPA₂v) for handling contradictory information in systems with redundant sensors. The method employs evidence degrees to adjust the control action through a confidence factor. Simulations on a second-order plant under different contradiction levels and sensor fault conditions were evaluated using IAE, ISE, ITAE, settling time, and overshoot metrics. Results demonstrated stability and robustness under inconsistent information, indicating potential applications in fault-tolerant industrial systems.

Anais do Encontro Nacional de Pós GraduaçãoVol. 10(1)
Serviço Nacional de Aprendizagem Industrial (BR), São Paulo State Technological College (BR), Universidade Santa Cecília (BR)
Openalex Percentile: Top 19%
Fault Detection and Control Systems
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